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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 12 hours ago
machine learning, deep learning and computer vision (3) Experience in CCUS modeling with numerical reservoir simulators such as CMG, Eclipse, MRST or TOUGH-React (4) Experience in inverse modeling
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apply cutting-edge computational and AI approaches to large-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | about 1 month ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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record in AI, machine learning, computer vision, digital health, biomedical engineering, medical AI, or a closely related area. Expertise in one or more areas such as deep learning, computer vision
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solid experience in machine learning (including deep learning), ideally in the context of computer vision and, more broadly, a proven track record in scientific programming (GitHub Repository or
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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep
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projects with a focus on the development and application of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine
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learning; experience with 3D data or point cloud processing, computer vision, or generative models is a plus. Enjoyment of application-oriented challenges in industrial contexts, translating theory
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Lead, Geospatial Artificial Intelligence and Machine Learning Department: Center for Geospatial Solutions Operations 37 Hillhouse Avenue, New Haven, Connecticut Job ID: 138060WD $92,000.00